Package: psychonetrics 0.17.8

Sacha Epskamp

psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis

Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.

Authors:Sacha Epskamp [aut, cre]

psychonetrics_0.17.8.tar.gz
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psychonetrics_0.17.8.tar.gz(r-4.7-arm64)psychonetrics_0.17.8.tar.gz(r-4.7-x86_64)psychonetrics_0.17.8.tar.gz(r-4.6-arm64)psychonetrics_0.17.8.tar.gz(r-4.6-x86_64)
psychonetrics_0.17.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
psychonetrics/json (API)

# Install 'psychonetrics' in R:
install.packages('psychonetrics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sachaepskamp/psychonetrics/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Jonas - Jonas dataset
  • NA2020 - Network Analysis 2020 Self-Report Data
  • StarWars - Star Wars dataset

On CRAN:

Conda:

openblascppopenmp

4.34 score 3 packages 80 scripts 2.6k downloads 3 mentions 114 exports 97 dependencies

Last updated from:1baf83d228. Checks:10 OK. Indexed: no.

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linux-devel-x86_64OK729
source / vignettesOK1159
linux-release-arm64OK649
linux-release-x86_64OK719
windows-devel-arm64OK699
windows-devel-x86_64OK1160
windows-release-arm64OK897
windows-release-x86_64OK812
wasm-releaseOK375

Exports:addfitaddMIsaddSEsaggregate_bootstrapsallequalbifactorBlumeCapelbootstrapchangedatacheckFishercheckJacobiancholeskyCIplotcomparecorrcovMLcovMLtoUBcovUBtoMLdiagonalizationMatrixdlvmdlvm1duplicationMatrixeliminationMatrixemergencystartequalityScoreTestesaesa_manualfactorscoresfind_penalized_lambdafitfixparfixstartfreeparfromlavaangenerategetmatrixgetVCOVggmgroupequalgroupfreegvaridentifyintersectionmodelIsinglatentgrowthlnmlogbookloop_psychonetricslrnmlvmmeta_ggmmeta_gvarmeta_lvmmeta_varmeta_var1meta_varcovMIsml_corrml_ggmml_gvarml_gvar1ml_lnmml_lrnmml_lvmml_rnmml_ts_lvgvarml_tsdlvm1ml_varml_var1ml_varcovmodelsearchpanel_lvgvarpanelgvarpanellvgvarpanelvarparametersparequalpartialprunepenalizepenaltyVectorprecprecisionprunerefitresidresidualsri_clpmri_clpm_searchri_clpm_stationaryri_clpnri_clpn_searchri_clpn_stationaryrnmrunmodelsetestimatorsetoptimizersetverboseshowsimplestructurestepupsummarytolavaantransmodts_lvgvartsdlvmtsdlvm1unionmodelunpenalizeupdate_baselineupdate_saturatedusecppvar1varcovwrite_psychonetrics

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphIsingSamplerisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtnlmenloptrnnetnumDerivoptimxpbapplypbivnormpbvpillarpkgconfigplyrpngpracmapsychpurrrqgraphquadprogR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownroptimrpartrstudioapiS7sassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Structural Equation Modeling and Confirmatory Network Analysispsychonetrics-package psychonetrics
Aggregate Bootstrapped Modelsaggregate_bootstraps
Constrain all elements of a matrix equal within groupsallequal
Bi-factor modelsbifactor
Blume-Capel modelBlumeCapel
Bootstrap a psychonetrics modelbootstrap
Change the data of a psychonetrics objectchangedata
Plot Analytic Confidence IntervalsCIplot
Model comparisoncompare print.psychonetrics_compare
Maximum likelihood covariance estimatecovML covMLtoUB covUBtoML
Diagnostic functionscheckFisher checkJacobian
Lag-1 dynamic latent variable model family of psychonetrics models for panel datadlvm dlvm1 panellvgvar panel_lvgvar
Model matrices used in derivativesdiagonalizationMatrix duplicationMatrix eliminationMatrix
Reset starting values to simple defaultsemergencystart
Score (Lagrange Multiplier) test for cross-group equality constraintsequalityScoreTest
Ergodic Subspace Analysisesa esa_manual plot.esa plot.esa_manual print.esa print.esa_manual
Compute factor scoresfactorscores
Automated Lambda Selection for Penalized Estimationfind_penalized_lambda
Print fit indicesfit
Parameters modificationfixpar freepar
Attempt to Fix Starting Valuesfixstart
Convert a lavaan model to a psychonetrics lvmfromlavaan
Generate data from a fitted psychonetrics objectgenerate
Extract an estimated matrixgetmatrix
Obtain the asymptotic covariance matrixgetVCOV
Group equality constraintsgroupequal groupfree
Ising modelIsing
Jonas datasetJonas
Latent growth curve modellatentgrowth
Retrieve the psychonetrics logbooklogbook
Parallel loop for psychonetricsloop_psychonetrics
Continuous latent variable family of psychonetrics modelslnm lrnm lvm rnm
Meta-analytic latent variable modelmeta_lvm
Meta-analytic VAR(1) modelmeta_gvar meta_var meta_var1
Variance-covariance and GGM meta analysismeta_ggm meta_varcov
Print modification indicesMIs
Multi-level latent variable model familyml_lnm ml_lrnm ml_lvm ml_rnm
Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series dataml_tsdlvm1 ml_ts_lvgvar
Multi-level lag-1 vector auto-regression family (random intercepts)ml_gvar ml_gvar1 ml_var ml_var1
Multi-level variance-covariance family of psychonetrics modelsml_corr ml_ggm ml_varcov
Stepwise model searchmodelsearch
Network Analysis 2020 Self-Report DataNA2020
Lag-1 panel vector autoregression family of psychonetrics modelspanelgvar panelvar
Print parameter estimatesparameters
Set equality constraints across parametersparequal
Partial pruning of multi-group modelspartialprune
Penalized Maximum Likelihood Functionspenalize penaltyVector refit unpenalize
Plot the networks of a psychonetrics modelplot.psychonetrics
Stepdown model search by pruning non-significant parametersprune
Class '"psychonetrics_bootstrap"'psychonetrics_bootstrap-class show,psychonetrics_bootstrap-method
Class '"psychonetrics_log"'psychonetrics_log-class show,psychonetrics_log-method
Model updating functionsaddfit addMIs addSEs identify
Class '"psychonetrics"'psychonetrics-class psychonetrics_samplestats-class resid,psychonetrics-method residuals,psychonetrics-method sessionInfo-class show,psychonetrics-method summary,psychonetrics-method
Random intercept cross-lagged panel models and networksprint.ri_clpm_search ri_clpm ri_clpm_search ri_clpm_stationary ri_clpn ri_clpn_search ri_clpn_stationary
Run a psychonetrics modelrunmodel
Convenience functionssetestimator setoptimizer usecpp
Should messages of computation progress be printed?setverbose
Generate factor loadings matrix with simple structuresimplestructure
Star Wars datasetStarWars
Stepup model search along modification indicesstepup
Convert a psychonetrics lvm to a lavaan modeltolavaan
Transform between model typestransmod
Lag-1 dynamic latent variable model family of psychonetrics models for time-series datatsdlvm tsdlvm1 ts_lvgvar
Unify models across groupsintersectionmodel unionmodel
Set a custom baseline or saturated reference modelupdate_baseline update_saturated
Lag-1 vector autoregression family of psychonetrics modelsgvar var1
Variance-covariance family of psychonetrics modelscholesky corr ggm prec precision varcov
Write comprehensive model output to a text filewrite_psychonetrics